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Databricks vs PyCharm

Databricks logo

Databricks

Software

Unified analytics platform for data engineering and data science

From
Free
Rated
-
Full reviewWebsite
PyCharm logo

PyCharm

Software

The IDE for Professional Python Development

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges; PyCharm pyCharm Pro commercial licence is USD 299/year (USD 29.90/month); personal licence is USD 109/year dropping to USD 68.25 by year three with loyalty discounts, per jetbrains.com/store inline pricing JSON checked 19 Aug 2026
  • They diverge on capability: Databricks covers Delta Lake, PyCharm covers Intelligent code editor.

Where they differ

Only the attributes on which Databricks and PyCharm actually diverge.

Attributes where Databricks and PyCharm differ
AttributeDatabricksPyCharm
Pricing modelusage-basedsubscription
PlatformsWeb, Aws, Azure, GcpWindows, Macos, Linux
Founded20132010

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Databricks

  • Delta Lake
  • Apache Spark
  • MLflow
  • Unity Catalog
  • Photon Engine
  • Collaborative Notebooks
  • Auto-scaling
  • AWS

Only in PyCharm

  • Intelligent code editor
  • Smart code navigation
  • Fast and safe refactorings
  • Debugging and testing
  • VCS integration
  • Scientific development tools
  • Web development support
  • Database tools

What people use each for

The jobs each tool is most often brought in to do.

Databricks

  • Running Spark data engineering pipelines on managed clustersnot PyCharm
  • Building a lakehouse over data in cloud object storagenot PyCharm
  • Training and serving machine learning models alongside the datanot PyCharm

PyCharm

  • Python developmentnot Databricks
  • Data science projectsnot Databricks
  • Web developmentnot Databricks
  • Machine learningnot Databricks
  • Scientific computingnot Databricks

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Databricks

  • Cloud compute is billed separately by the cloud provider on top of Databricks DBU charges
  • The free trial lasts 14 days
  • Discounts require a Committed Use Contract, with larger commitments needed for larger discounts
  • Azure Databricks pricing is set by Microsoft rather than by Databricks
  • Security and compliance capabilities are sold as separate platform add ons rather than included in the base rate

PyCharm

  • PyCharm Pro commercial licence is USD 299/year (USD 29.90/month); personal licence is USD 109/year dropping to USD 68.25 by year three with loyalty discounts, per jetbrains.com/store inline pricing JSON checked 19 Aug 2026

Pricing, plan by plan

Databricks

Free
  • Community EditionFree
    • Limited cluster
    • Notebook environment
    • Community support
  • Standard$0.07/DBU
    • Jobs compute
    • SQL compute
    • Standard support

PyCharm

Free
  • CommunityFree
    • Intelligent Python editor
    • Graphical debugger and test runner
    • Navigation and refactoring
  • Professional$24.9/month
    • Everything in Community
    • Web development frameworks
    • Database tools

Which should you pick?

Choose Databricks if

  • You need delta lake.
  • You want to start without paying.
  • You work on Web, Aws, Azure, Gcp.
  • You also want apache spark.
Databricks review

Choose PyCharm if

  • You need intelligent code editor.
  • You want to start without paying.
  • You work on Windows, Macos, Linux.
  • You also want smart code navigation.
PyCharm review

Questions people ask

Is Databricks or PyCharm better?
Neither clearly leads. Databricks starts at Free and PyCharm at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databricks or PyCharm?
Databricks starts at Free and PyCharm at Free.
Does Databricks or PyCharm run on more platforms?
Databricks runs on Web, Aws, Azure, Gcp. PyCharm runs on Windows, Macos, Linux.
Can I use Databricks for free?
Both have a free tier, so you can try either at no cost before committing.
What is Databricks best used for?
Databricks is most often used for running spark data engineering pipelines on managed clusters, building a lakehouse over data in cloud object storage, training and serving machine learning models alongside the data. Of those, running spark data engineering pipelines on managed clusters and building a lakehouse over data in cloud object storage are not what PyCharm is typically brought in for.
What can Databricks do that PyCharm cannot?
Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. PyCharm covers Intelligent code editor, Smart code navigation, Fast and safe refactorings, Debugging and testing.
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